Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods

NeurIPS 2019 Kevin J LiangGuoyin WangYitong LiRicardo HenaoLawrence Carin

We investigate time-dependent data analysis from the perspective of recurrent kernel machines, from which models with hidden units and gated memory cells arise naturally. By considering dynamic gating of the memory cell, a model closely related to the long short-term memory (LSTM) recurrent neural network is derived... (read more)

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